Airline network and competition characterization using big data approaches

Multi-Scale Data Mining for Air Transportation System Diagnostics

“…These structural characteristics are likely to impact system behaviors discussed in the previous sections, for example how quickly delay propagates through the NAS given the networks and frequencies serviced by the airlines. Analysis at this scale is less mature than the other scales just discussed, but some example insights are discussed here, and in more detail in [5]. By correlating network-wide descriptive metrics to exogenous factors such as airline mergers/bankruptcies, fuel price and economic activity, it may be possible to identify driving factors in NAS structure which in turn influences behaviors at the other levels.…”

“…In this way, the size of the data reduces from the left to the right in the diagram, but the level of insight should increase if executed properly. The utility of this general framework is demonstrated in a range of relevant analysis case studies discussed at a high level in the next sections, but greater detail can be found in companion papers [1][2][3][4][5]. …”